Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.

Artificial intelligence (AI) benefits many industries but is limited by the so-called "curse of dimensionality," which arises ...

In summary, the emerging discipline of quantum-enhanced machine learning has to be relocated from the playgrounds of quantum computing and must become a truly interdisciplinary project. This requires ...

Quantum machine learning stands at the forefront of AI research and application, promising to address some of the most challenging problems across various industries.

Quantum machine learning (QML) combines quantum computing's power with ML's predictive capabilities to overcome classical algorithms' limitations.

Noise in the form of interactions between quantum bits, or qubits, and the surrounding environment causes errors that limit the processing capabilities of current quantum computer technology. New ...

An international team of scientists presents a thorough review on quantum machine learning, its current status and future prospects. The reports contrasts machine learning using classical and ...

Qiskit Machine Learning is designed to add a touch of quantum computing to machine-learning models, even with little knowledge of particle physics.

Scientists have presented a thorough review on quantum machine learning, its current status and future prospects. The reports contrasts machine learning using classical and quantum resources ...

The resulting machine learning depends on the efficiency and quality of this process. Using a quantum computer, it should be possible to perform this on a scale that was hitherto impossible.